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Mapping the transcriptional diversity of genetically and anatomically defined cell populations in the mouse brain.
Sugino, Ken; Clark, Erin; Schulmann, Anton; Shima, Yasuyuki; Wang, Lihua; Hunt, David L; Hooks, Bryan M; Tränkner, Dimitri; Chandrashekar, Jayaram; Picard, Serge; Lemire, Andrew L; Spruston, Nelson; Hantman, Adam W; Nelson, Sacha B.
Afiliação
  • Sugino K; Janelia Research Campus, Ashburn, United States.
  • Clark E; Brandeis University, Waltham, United States.
  • Schulmann A; Janelia Research Campus, Ashburn, United States.
  • Shima Y; Brandeis University, Waltham, United States.
  • Wang L; Janelia Research Campus, Ashburn, United States.
  • Hunt DL; Janelia Research Campus, Ashburn, United States.
  • Hooks BM; Janelia Research Campus, Ashburn, United States.
  • Tränkner D; Janelia Research Campus, Ashburn, United States.
  • Chandrashekar J; Janelia Research Campus, Ashburn, United States.
  • Picard S; Janelia Research Campus, Ashburn, United States.
  • Lemire AL; Janelia Research Campus, Ashburn, United States.
  • Spruston N; Janelia Research Campus, Ashburn, United States.
  • Hantman AW; Janelia Research Campus, Ashburn, United States.
  • Nelson SB; Brandeis University, Waltham, United States.
Elife ; 82019 04 12.
Article em En | MEDLINE | ID: mdl-30977723
Understanding the principles governing neuronal diversity is a fundamental goal for neuroscience. Here, we provide an anatomical and transcriptomic database of nearly 200 genetically identified cell populations. By separately analyzing the robustness and pattern of expression differences across these cell populations, we identify two gene classes contributing distinctly to neuronal diversity. Short homeobox transcription factors distinguish neuronal populations combinatorially, and exhibit extremely low transcriptional noise, enabling highly robust expression differences. Long neuronal effector genes, such as channels and cell adhesion molecules, contribute disproportionately to neuronal diversity, based on their patterns rather than robustness of expression differences. By linking transcriptional identity to genetic strains and anatomical atlases, we provide an extensive resource for further investigation of mouse neuronal cell types.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Perfilação da Expressão Gênica / Neurônios Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Perfilação da Expressão Gênica / Neurônios Idioma: En Ano de publicação: 2019 Tipo de documento: Article